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Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
ARG-US Remote Monitoring Systems: Use Cases and Applications in Nuclear Facilities and During Transportation
As highlighted in the Spring 2024 issue of Radwaste Solutions, researchers at the Department of Energy’s Argonne National Laboratory are developing and deploying ARG-US—meaning “Watchful Guardian”—remote monitoring systems technologies to enhance the safety, security, and safeguards (3S) of packages of nuclear and other radioactive material during storage, transportation, and disposal.
Emiliano Masiello, Richard Sanchez, Igor Zmijarevic
Nuclear Science and Engineering | Volume 161 | Number 3 | March 2009 | Pages 257-278
Technical Paper | doi.org/10.13182/NSE161-257
Articles are hosted by Taylor and Francis Online.
The method of short characteristics is extended to two-dimensional heterogeneous Cartesian cells. The new application is intended for realistic pin-by-pin lattice calculations with an exact representation of the geometric shape of the pins, without need for homogenization. The method keeps the advantages of conventional discrete ordinates methods, such as fast execution, together with the possibility to deal with a large number of spatial meshes. Expansion bases, spatial integration, and balance conservation are discussed. A Fourier analysis of the method shows that the scheme preserves the asymptotic behavior of analytical transport. Two coarse-mesh finite difference acceleration techniques have also been analyzed and generalized with the use of Eddington's factors to speed up the rate of convergence of the inner iterations. Numerical examples for realistic configurations show the precision of the method and the efficiency of the accelerated iterations. An analytical stability analysis is also presented for studying the nonconverged behavior of the accelerated scheme, and we give numerical proof of chaotic behavior and the existence of bifurcations.